Triple
T21435964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pai Mei |
E528808
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Gordon Liu |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gordon Liu | Statement: [Pai Mei, portrayedBy, Gordon Liu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gordon Liu Context triple: [Pai Mei, portrayedBy, Gordon Liu]
-
A.
Gordon Liu
chosen
Gordon Liu is a renowned Hong Kong martial arts actor and kung fu film star, best known for classics like "The 36th Chamber of Shaolin" and his roles in Quentin Tarantino's "Kill Bill" films.
-
B.
Yuen Biao
Yuen Biao is a Hong Kong martial artist and actor best known for his acrobatic kung fu performances and frequent collaborations with Jackie Chan and Sammo Hung in classic action films.
-
C.
Donnie Yen
Donnie Yen is a renowned Hong Kong actor and martial artist celebrated for his dynamic action roles and innovative fight choreography in films such as the Ip Man series.
-
D.
Lee Ka Lau
Lee Ka Lau is a Canadian entrepreneur and engineer best known as a co-founder of the graphics chip company ATI Technologies.
-
E.
Man Choi
Man Choi is a bumbling yet brave Taoist disciple and comic sidekick in the Hong Kong horror-comedy film "Mr. Vampire."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b5373994819088fbd82f31c3b0c8 |
completed | April 22, 2026, 11:47 a.m. |
Created at: April 16, 2026, 6:02 p.m.